ArmNN
 24.02
StackLayer Class Reference

This layer represents a stack operation. More...

#include <StackLayer.hpp>

Inheritance diagram for StackLayer:
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Collaboration diagram for StackLayer:
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Public Member Functions

virtual std::unique_ptr< IWorkloadCreateWorkload (const IWorkloadFactory &factory) const override
 Makes a workload for the Stack type. More...
 
StackLayerClone (Graph &graph) const override
 Creates a dynamically-allocated copy of this layer. More...
 
void ValidateTensorShapesFromInputs () override
 Check if the input tensor shape(s) will lead to a valid configuration of StackLayer. More...
 
std::vector< TensorShapeInferOutputShapes (const std::vector< TensorShape > &inputShapes) const override
 By default returns inputShapes if the number of inputs are equal to number of outputs, otherwise infers the output shapes from given input shapes and layer properties. More...
 
void ExecuteStrategy (IStrategy &strategy) const override
 Apply a visitor to this layer. More...
 
- Public Member Functions inherited from LayerWithParameters< StackDescriptor >
const StackDescriptorGetParameters () const override
 If the layer has a descriptor return it. More...
 
void SerializeLayerParameters (ParameterStringifyFunction &fn) const override
 Helper to serialize the layer parameters to string (currently used in DotSerializer and company). More...
 
- Public Member Functions inherited from Layer
 Layer (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const char *name)
 
 Layer (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, DataLayout layout, const char *name)
 
const std::string & GetNameStr () const
 
const OutputHandlerGetOutputHandler (unsigned int i=0) const
 
OutputHandlerGetOutputHandler (unsigned int i=0)
 
ShapeInferenceMethod GetShapeInferenceMethod () const
 
bool GetAllowExpandedDims () const
 
const std::vector< InputSlot > & GetInputSlots () const
 
const std::vector< OutputSlot > & GetOutputSlots () const
 
std::vector< InputSlot >::iterator BeginInputSlots ()
 
std::vector< InputSlot >::iterator EndInputSlots ()
 
std::vector< OutputSlot >::iterator BeginOutputSlots ()
 
std::vector< OutputSlot >::iterator EndOutputSlots ()
 
bool IsOutputUnconnected ()
 
void ResetPriority () const
 
LayerPriority GetPriority () const
 
LayerType GetType () const override
 Returns the armnn::LayerType of this layer. More...
 
DataType GetDataType () const
 
const BackendIdGetBackendId () const
 
void SetBackendId (const BackendId &id) override
 Set the backend of the IConnectableLayer. More...
 
virtual void CreateTensorHandles (const TensorHandleFactoryRegistry &registry, const IWorkloadFactory &factory, const bool IsMemoryManaged=true)
 
void VerifyLayerConnections (unsigned int expectedConnections, const CheckLocation &location) const
 
virtual void ReleaseConstantData ()
 
template<typename Op >
void OperateOnConstantTensors (Op op)
 
const char * GetName () const override
 Returns the name of the layer. More...
 
unsigned int GetNumInputSlots () const override
 Returns the number of connectable input slots. More...
 
unsigned int GetNumOutputSlots () const override
 Returns the number of connectable output slots. More...
 
const InputSlotGetInputSlot (unsigned int index) const override
 Get a const input slot handle by slot index. More...
 
InputSlotGetInputSlot (unsigned int index) override
 Get the input slot handle by slot index. More...
 
const OutputSlotGetOutputSlot (unsigned int index=0) const override
 Get the const output slot handle by slot index. More...
 
OutputSlotGetOutputSlot (unsigned int index=0) override
 Get the output slot handle by slot index. More...
 
void SetGuid (LayerGuid guid)
 
LayerGuid GetGuid () const final
 Returns the unique id of the layer. More...
 
void AddRelatedLayerName (const std::string layerName)
 
const std::list< std::string > & GetRelatedLayerNames ()
 
virtual void Reparent (Graph &dest, std::list< Layer * >::const_iterator iterator)=0
 
void BackendSelectionHint (Optional< BackendId > backend) final
 Provide a hint for the optimizer as to which backend to prefer for this layer. More...
 
Optional< BackendIdGetBackendHint () const
 
void SetShapeInferenceMethod (ShapeInferenceMethod shapeInferenceMethod)
 
void SetAllowExpandedDims (bool allowExpandedDims)
 
template<typename T >
std::shared_ptr< T > GetAdditionalInformation () const
 
void SetAdditionalInfoForObject (const AdditionalInfoObjectPtr &additionalInfo)
 
virtual const BaseDescriptorGetParameters () const override
 If the layer has a descriptor return it. More...
 

Protected Member Functions

 StackLayer (const StackDescriptor &param, const char *name)
 Constructor to create a StackLayer. More...
 
 ~StackLayer ()=default
 Default destructor. More...
 
- Protected Member Functions inherited from LayerWithParameters< StackDescriptor >
 LayerWithParameters (unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const StackDescriptor &param, const char *name)
 
 ~LayerWithParameters ()=default
 
WorkloadInfo PrepInfoAndDesc (QueueDescriptor &descriptor) const
 Helper function to reduce duplication in *Layer::CreateWorkload. More...
 
void ExecuteStrategy (IStrategy &strategy) const override
 Apply a visitor to this layer. More...
 
Layer::ImmutableConstantTensors GetConnectedConstantAsInputTensors () const
 
- Protected Member Functions inherited from Layer
virtual ~Layer ()=default
 
template<typename QueueDescriptor >
void CollectQueueDescriptorInputs (QueueDescriptor &descriptor, WorkloadInfo &info) const
 
template<typename QueueDescriptor >
void CollectQueueDescriptorOutputs (QueueDescriptor &descriptor, WorkloadInfo &info) const
 
void ValidateAndCopyShape (const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
 
void VerifyShapeInferenceType (const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
 
template<typename QueueDescriptor >
WorkloadInfo PrepInfoAndDesc (QueueDescriptor &descriptor) const
 Helper function to reduce duplication in *Layer::CreateWorkload. More...
 
template<typename LayerType , typename ... Params>
LayerTypeCloneBase (Graph &graph, Params &&... params) const
 
virtual ConstantTensors GetConstantTensorsByRef () override final
 
virtual ImmutableConstantTensors GetConstantTensorsByRef () const override
 
void SetAdditionalInfo (QueueDescriptor &descriptor) const
 
- Protected Member Functions inherited from IConnectableLayer
 ~IConnectableLayer ()
 Objects are not deletable via the handle. More...
 

Additional Inherited Members

- Public Types inherited from LayerWithParameters< StackDescriptor >
using DescriptorType = StackDescriptor
 
- Public Types inherited from IConnectableLayer
using ConstantTensors = std::vector< std::reference_wrapper< std::shared_ptr< ConstTensorHandle > >>
 
using ImmutableConstantTensors = std::vector< std::reference_wrapper< const std::shared_ptr< ConstTensorHandle > >>
 
- Protected Attributes inherited from LayerWithParameters< StackDescriptor >
StackDescriptor m_Param
 The parameters for the layer (not including tensor-valued weights etc.). More...
 
- Protected Attributes inherited from Layer
AdditionalInfoObjectPtr m_AdditionalInfoObject
 
std::vector< OutputHandlerm_OutputHandlers
 
ShapeInferenceMethod m_ShapeInferenceMethod
 

Detailed Description

This layer represents a stack operation.

Definition at line 13 of file StackLayer.hpp.

Constructor & Destructor Documentation

◆ StackLayer()

StackLayer ( const StackDescriptor param,
const char *  name 
)
protected

Constructor to create a StackLayer.

Parameters
[in]paramStackDescriptor to configure the stack operation.
[in]nameOptional name for the layer.

Definition at line 17 of file StackLayer.cpp.

18  : LayerWithParameters(param.m_NumInputs, 1, LayerType::Stack, param, name)
19 {
20 }

◆ ~StackLayer()

~StackLayer ( )
protecteddefault

Default destructor.

Member Function Documentation

◆ Clone()

StackLayer * Clone ( Graph graph) const
overridevirtual

Creates a dynamically-allocated copy of this layer.

Parameters
[in]graphThe graph into which this layer is being cloned.

Implements Layer.

Definition at line 30 of file StackLayer.cpp.

31 {
32  return CloneBase<StackLayer>(graph, m_Param, GetName());
33 }

References Layer::GetName(), and LayerWithParameters< StackDescriptor >::m_Param.

◆ CreateWorkload()

std::unique_ptr< IWorkload > CreateWorkload ( const IWorkloadFactory factory) const
overridevirtual

Makes a workload for the Stack type.

Parameters
[in]graphThe graph where this layer can be found.
[in]factoryThe workload factory which will create the workload.
Returns
A pointer to the created workload, or nullptr if not created.

Implements Layer.

Definition at line 22 of file StackLayer.cpp.

23 {
24  StackQueueDescriptor descriptor;
25  SetAdditionalInfo(descriptor);
26 
27  return factory.CreateWorkload(LayerType::Stack, descriptor, PrepInfoAndDesc(descriptor));
28 }

References IWorkloadFactory::CreateWorkload(), LayerWithParameters< StackDescriptor >::PrepInfoAndDesc(), Layer::SetAdditionalInfo(), and armnn::Stack.

◆ ExecuteStrategy()

void ExecuteStrategy ( IStrategy strategy) const
overridevirtual

Apply a visitor to this layer.

Reimplemented from Layer.

Definition at line 98 of file StackLayer.cpp.

99 {
100  strategy.ExecuteStrategy(this, GetParameters(), {}, GetName());
101 }

References IStrategy::ExecuteStrategy(), Layer::GetName(), and LayerWithParameters< StackDescriptor >::GetParameters().

◆ InferOutputShapes()

std::vector< TensorShape > InferOutputShapes ( const std::vector< TensorShape > &  inputShapes) const
overridevirtual

By default returns inputShapes if the number of inputs are equal to number of outputs, otherwise infers the output shapes from given input shapes and layer properties.

Parameters
[in]inputShapesThe input shapes layer has.
Returns
A vector to the inferred output shape.

Reimplemented from Layer.

Definition at line 35 of file StackLayer.cpp.

36 {
37  IgnoreUnused(inputShapes);
38 
39  const TensorShape& inputShape = m_Param.m_InputShape;
40  const unsigned int inputNumDimensions = inputShape.GetNumDimensions();
41  const unsigned int axis = m_Param.m_Axis;
42 
43  ARMNN_ASSERT(axis <= inputNumDimensions);
44 
45  std::vector<unsigned int> dimensionSizes(inputNumDimensions + 1, 0);
46  for (unsigned int i = 0; i < axis; ++i)
47  {
48  dimensionSizes[i] = inputShape[i];
49  }
50 
51  dimensionSizes[axis] = m_Param.m_NumInputs;
52 
53  for (unsigned int i = axis + 1; i < inputNumDimensions + 1; ++i)
54  {
55  dimensionSizes[i] = inputShape[i-1];
56  }
57 
58  TensorShape targetShape = TensorShape(inputNumDimensions + 1, dimensionSizes.data());
59 
60  return std::vector<TensorShape>({ targetShape });
61 }

References ARMNN_ASSERT, TensorShape::GetNumDimensions(), armnn::IgnoreUnused(), StackDescriptor::m_Axis, StackDescriptor::m_InputShape, StackDescriptor::m_NumInputs, and LayerWithParameters< StackDescriptor >::m_Param.

Referenced by StackLayer::ValidateTensorShapesFromInputs().

◆ ValidateTensorShapesFromInputs()

void ValidateTensorShapesFromInputs ( )
overridevirtual

Check if the input tensor shape(s) will lead to a valid configuration of StackLayer.

Parameters
[in]shapeInferenceMethodIndicates if output shape shall be overwritten or just validated.

Implements Layer.

Definition at line 63 of file StackLayer.cpp.

64 {
65  // Validates Stack layer.
66  ConditionalThrowIfNotEqual<LayerValidationException>(
67  "StackLayer: Num Input Slots must match Num Inputs.",
70 
72 
73  const TensorShape& outputShape = GetOutputSlot(0).GetTensorInfo().GetShape();
74 
76 
77  // Constructs and validates input shapes
78  std::vector<TensorShape> inputShapes;
79  for (unsigned int i = 0; i < GetNumInputSlots(); ++i)
80  {
81  TensorShape inputShape = GetInputSlot(i).GetTensorInfo().GetShape();
82  if (inputShape != m_Param.m_InputShape)
83  {
84  throw LayerValidationException("StackLayer: TensorShape set on InputSlot[" +
85  std::to_string(i) +
86  "] does not match defined input shape");
87  }
88  inputShapes.push_back(inputShape);
89  }
90 
91  auto inferredShapes = InferOutputShapes(inputShapes);
92 
93  ARMNN_ASSERT(inferredShapes.size() == 1);
94 
95  ValidateAndCopyShape(outputShape, inferredShapes[0], m_ShapeInferenceMethod, "StackLayer");
96 }

References ARMNN_ASSERT, CHECK_LOCATION, Layer::GetInputSlot(), Layer::GetNumInputSlots(), Layer::GetOutputSlot(), TensorInfo::GetShape(), InputSlot::GetTensorInfo(), OutputSlot::GetTensorInfo(), StackLayer::InferOutputShapes(), StackDescriptor::m_InputShape, StackDescriptor::m_NumInputs, LayerWithParameters< StackDescriptor >::m_Param, Layer::m_ShapeInferenceMethod, Layer::ValidateAndCopyShape(), Layer::VerifyLayerConnections(), and Layer::VerifyShapeInferenceType().


The documentation for this class was generated from the following files:
ARMNN_ASSERT
#define ARMNN_ASSERT(COND)
Definition: Assert.hpp:14
armnn::OutputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Definition: Layer.cpp:92
CHECK_LOCATION
#define CHECK_LOCATION()
Definition: Exceptions.hpp:203
armnn::Layer::ValidateAndCopyShape
void ValidateAndCopyShape(const TensorShape &outputShape, const TensorShape &inferredShape, const ShapeInferenceMethod shapeInferenceMethod, const std::string &layerName, const unsigned int outputSlotIndex=0)
Definition: Layer.cpp:435
armnn::Layer::GetOutputSlot
const OutputSlot & GetOutputSlot(unsigned int index=0) const override
Get the const output slot handle by slot index.
Definition: Layer.hpp:339
armnn::LayerType::Stack
@ Stack
armnn::Layer::GetInputSlot
const InputSlot & GetInputSlot(unsigned int index) const override
Get a const input slot handle by slot index.
Definition: Layer.hpp:337
armnn::LayerWithParameters< StackDescriptor >::GetParameters
const StackDescriptor & GetParameters() const override
Definition: LayerWithParameters.hpp:19
armnn::Layer::GetName
const char * GetName() const override
Returns the name of the layer.
Definition: Layer.hpp:332
armnn::InputSlot::GetTensorInfo
const TensorInfo & GetTensorInfo() const override
Gets the TensorInfo for this InputSlot.
Definition: Layer.cpp:592
armnn::StackDescriptor::m_NumInputs
uint32_t m_NumInputs
Number of input tensors.
Definition: Descriptors.hpp:1275
armnn::LayerWithParameters< StackDescriptor >::m_Param
StackDescriptor m_Param
The parameters for the layer (not including tensor-valued weights etc.).
Definition: LayerWithParameters.hpp:52
armnn::TensorShape::GetNumDimensions
unsigned int GetNumDimensions() const
Function that returns the tensor rank.
Definition: Tensor.cpp:174
armnn::LayerWithParameters< StackDescriptor >::PrepInfoAndDesc
WorkloadInfo PrepInfoAndDesc(QueueDescriptor &descriptor) const
Helper function to reduce duplication in *Layer::CreateWorkload.
Definition: LayerWithParameters.hpp:44
armnn::StackDescriptor::m_Axis
uint32_t m_Axis
0-based axis along which to stack the input tensors.
Definition: Descriptors.hpp:1273
armnn::Layer::VerifyShapeInferenceType
void VerifyShapeInferenceType(const TensorShape &outputShape, ShapeInferenceMethod shapeInferenceMethod)
Definition: Layer.cpp:504
armnn::Layer::SetAdditionalInfo
void SetAdditionalInfo(QueueDescriptor &descriptor) const
Definition: Layer.cpp:287
armnn::StackDescriptor::m_InputShape
TensorShape m_InputShape
Required shape of all input tensors.
Definition: Descriptors.hpp:1277
armnn::Layer::GetNumInputSlots
unsigned int GetNumInputSlots() const override
Returns the number of connectable input slots.
Definition: Layer.hpp:334
armnn::StackLayer::InferOutputShapes
std::vector< TensorShape > InferOutputShapes(const std::vector< TensorShape > &inputShapes) const override
By default returns inputShapes if the number of inputs are equal to number of outputs,...
Definition: StackLayer.cpp:35
armnn::TensorInfo::GetShape
const TensorShape & GetShape() const
Definition: Tensor.hpp:193
armnn::IgnoreUnused
void IgnoreUnused(Ts &&...)
Definition: IgnoreUnused.hpp:14
armnn::Layer::VerifyLayerConnections
void VerifyLayerConnections(unsigned int expectedConnections, const CheckLocation &location) const
Definition: Layer.cpp:391
armnn::LayerWithParameters< StackDescriptor >::LayerWithParameters
LayerWithParameters(unsigned int numInputSlots, unsigned int numOutputSlots, LayerType type, const StackDescriptor &param, const char *name)
Definition: LayerWithParameters.hpp:30
armnn::Layer::m_ShapeInferenceMethod
ShapeInferenceMethod m_ShapeInferenceMethod
Definition: Layer.hpp:441